In [1]:
import pandas as pd
import numpy as np
import glob
import sys
sys.path.append('../../../plume_dynamic_analyzer/src/')
from analyze_function import load_plumes_and_align, run_plume_analysis
#YG065
file_path = 'D:/pld_plumes/SRO_STO_Drexel/YG065_YichenGuo_09102024.h5'
frame_view_index = 2
plumes, ds_name, frame_view, fig = load_plumes_and_align(file_path, frame_view_index=frame_view_index)
fig.show()
coords_path = '../../../data/Plumes/frame_normalization_coords/YG065_coords.npy'
standard_coords_path = '../../../data/Plumes/frame_normalization_coords/standard_coords.npy'
output_csv_path = '../../../data/Plumes/SRO_plume_metrics/YG065_metrics.csv'
coords = np.array([[34,51], [36,215], [385,48], [382,229]])
viz_parms = {'viz':True, 'index':frame_view_index, 'viz_index':list(np.arange(0, 32, 1)), 'plume_name': ds_name, 'progress_bar':False}
metric_parms = {'time_interval':500e-9, 'threshold_list':[200, 5, 'flexible'], 'rename_dataset':True}
run_plume_analysis(plumes, ds_name, frame_view, coords, coords_path, standard_coords_path, output_csv_path,
viz_parms=viz_parms, metric_parms=metric_parms, align=True)
# special long pre-ablation plume
plumes, ds_name, frame_view, fig = load_plumes_and_align(file_path, frame_view_index=frame_view_index,
plume_name='1-SrRuO3_Pre', pre_plume_name='1-SrRuO3_Pre')
fig.show()
coords_path = '../../../data/Plumes/frame_normalization_coords/YG065_coords.npy'
standard_coords_path = '../../../data/Plumes/frame_normalization_coords/standard_coords.npy'
output_csv_path = '../../../data/Plumes/SRO_plume_metrics/YG065_pre_metrics.csv'
coords = np.array([[34,51], [36,215], [385,48], [382,229]])
viz_parms = {'viz':True, 'index':frame_view_index, 'viz_index':list(np.arange(0, 32, 1)), 'plume_name': ds_name, 'progress_bar':False}
metric_parms = {'time_interval':500e-9, 'threshold_list':[200, 5, 'flexible'], 'rename_dataset':True}
run_plume_analysis(plumes[1:], ds_name+'_pre', frame_view, coords, coords_path, standard_coords_path, output_csv_path,
viz_parms=viz_parms, metric_parms=metric_parms, align=True)
Available datasets: ['1-SrRuO3', '1-SrRuO3_Pre']
Running analysis for threshold: 200
Running analysis for threshold: 5
Running analysis for threshold: flexible
Results saved to ../../../data/Plumes/SRO_plume_metrics/YG065_metrics.csv
Available datasets: ['1-SrRuO3', '1-SrRuO3_Pre']
Running analysis for threshold: 200
Running analysis for threshold: 5
Running analysis for threshold: flexible
Results saved to ../../../data/Plumes/SRO_plume_metrics/YG065_pre_metrics.csv
